hello
hello

📌 Retain class distribution for seed 9:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌 Forget class distribution for seed 9:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.4887	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.5543	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.5093	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.4078	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3667	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.3121	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2828	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2719	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2650	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.3504	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2353	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1702	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1152	LR: 0.006630
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Training Epoch: 1 [3840/46250]	Loss: 2.0701	LR: 0.007735
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Training Epoch: 1 [4352/46250]	Loss: 2.2666	LR: 0.008840
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Training Epoch: 1 [5888/46250]	Loss: 2.0225	LR: 0.012155
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Training Epoch: 1 [8448/46250]	Loss: 1.8104	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 1.7287	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8648	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.9735	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7438	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7476	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.9205	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.9831	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8769	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.8954	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.9134	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.8066	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7660	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.9196	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.6735	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8657	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.8267	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8463	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7224	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.8153	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7680	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.8417	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6231	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7589	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.8790	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.8725	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.8307	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7195	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7488	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.7090	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7069	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6100	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.7317	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6665	LR: 0.036464
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Training Epoch: 1 [18944/46250]	Loss: 1.7379	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.7758	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6984	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5730	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.8090	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6220	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6709	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.7862	LR: 0.044199
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Training Epoch: 1 [21248/46250]	Loss: 1.8159	LR: 0.045304
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Training Epoch: 1 [21760/46250]	Loss: 1.7216	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6081	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.8597	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.6532	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6752	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.7678	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.6574	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.9189	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6469	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.9546	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.9197	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.7971	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.9600	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.7715	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.8424	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 2.0066	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5775	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.7568	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.7300	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6040	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.7713	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.5557	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5028	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6408	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6567	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.5740	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.7047	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5811	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.5356	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.5869	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.6205	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.5980	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.4814	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.6627	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.7287	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.5887	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.4838	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.6717	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6029	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.6535	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.6121	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5619	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5895	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.4745	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.5529	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.6643	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5435	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4939	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4824	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.3309	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.3619	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.6252	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5131	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.4916	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.6001	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.6075	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.6002	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4946	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5855	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.6146	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4719	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4595	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.5056	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.5276	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.3401	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.2315	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.3853	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.6372	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.5526	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4326	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.4702	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.5438	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.3459	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.6265	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4189	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.5910	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.3913	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5492	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.5802	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.5350	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.4968	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.5709	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.4389	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.3821	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4452	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.5312	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4561	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.3514	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.5519	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4008	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3551	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4388	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.3594	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4061	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.5292	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3430	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.4820	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7294, Train Accuracy: 0.3664
Epoch 1 training time consumed: 28.51s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0072, Accuracy: 0.4182, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3786	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.5376	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4590	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4815	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.2745	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3992	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4009	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3765	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.4347	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.3336	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.3588	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4353	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.1740	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.2945	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.4708	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3247	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.2878	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3339	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4623	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3584	LR: 0.100000
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Training Epoch: 2 [5888/46250]	Loss: 1.4441	LR: 0.100000
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Training Epoch: 2 [8192/46250]	Loss: 1.3550	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.3352	LR: 0.100000
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Training Epoch: 2 [10240/46250]	Loss: 1.3678	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.2193	LR: 0.100000
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Training Epoch: 2 [18432/46250]	Loss: 1.1732	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.1563	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.0220	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1947, Train Accuracy: 0.5685
Epoch 2 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0045, Accuracy: 0.6014, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.9953	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.8224	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9596, Train Accuracy: 0.6601
Epoch 3 training time consumed: 27.69s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0046, Accuracy: 0.6122, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8512	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.5935	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8185, Train Accuracy: 0.7120
Epoch 4 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0040, Accuracy: 0.6722, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.7401	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7188, Train Accuracy: 0.7480
Epoch 5 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0036, Accuracy: 0.6989, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.7185	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.5724	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6605, Train Accuracy: 0.7691
Epoch 6 training time consumed: 27.54s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7701, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.5715	LR: 0.100000
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Training Epoch: 7 [17408/46250]	Loss: 0.5583	LR: 0.100000
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Training Epoch: 7 [17920/46250]	Loss: 0.5808	LR: 0.100000
Training Epoch: 7 [18176/46250]	Loss: 0.5328	LR: 0.100000
Training Epoch: 7 [18432/46250]	Loss: 0.5683	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.5735	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.5297	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.6437	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.6519	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6951	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.5351	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.6101	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.6845	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.7320	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.6331	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.6541	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.6666	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.6351	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.6236	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.5940	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.8065	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.6325	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.6389	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.5648	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.6870	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.6289	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.5206	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.5589	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.5314	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.5702	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.6012	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.6685	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.5364	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.7016	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.6264	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.6015	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.5760	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.7195	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.7877	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.6563	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.6340	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.5911	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.5819	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.6457	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.5353	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.7358	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.6348	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.5576	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.6402	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.6382	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.6189	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.6539	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.6456	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.5359	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.5737	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.5675	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.6470	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.5802	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.6292	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.4896	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.6109	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.5746	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.6096	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.6973	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.6136	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.5328	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.5668	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.5745	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.6525	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.5579	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.7006	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.5914	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.5826	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.6505	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.6035	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.6718	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.5894	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.6373	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.5581	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.6054	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.4269	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.6742	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.6744	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.6192	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.7278	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.6834	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.6783	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.6469	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.6289	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.5974	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.6469	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.6346	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.5297	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.5339	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.4809	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.6739	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.6652	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.5255	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.5060	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.6791	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.6269	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.5564	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.7331	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.6330	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.5188	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.6113	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.6702	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.5205	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.6588	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.5742	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.6951	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.6199	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.7603	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.6364	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6154, Train Accuracy: 0.7856
Epoch 7 training time consumed: 27.82s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0030, Accuracy: 0.7476, Time consumed:1.01s
Training Epoch: 8 [256/46250]	Loss: 0.6099	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.5616	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.5036	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.5222	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.6307	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.5220	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.5788	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5157	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5375	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.4973	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.4765	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.5487	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.5017	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.4835	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.4730	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.5159	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.4191	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.4567	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.5247	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.4613	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.5364	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.4475	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.4256	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.4777	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.4801	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.4687	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.4758	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.4828	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.4659	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.4974	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.4430	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.4888	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.4853	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.4235	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.4916	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.4213	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.5312	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.4660	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.5385	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.5146	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.4636	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.4649	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.4171	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.3924	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.3972	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.3794	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4245	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.4361	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.4066	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.4400	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.4763	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.3650	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.5095	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.4242	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.4551	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.5459	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.5332	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.4510	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.3752	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.4989	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.5315	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.5338	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.4388	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.3889	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.4996	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.4363	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.4046	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.4210	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.4121	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.5113	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.3075	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.4887	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.4147	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.4725	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.4474	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.4822	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.3764	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.4407	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.5339	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4917	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.4928	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.4298	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.5403	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.3754	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.4718	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.5266	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.3890	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.3985	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.4635	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.5292	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.4756	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.5254	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.3736	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.5530	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.3517	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.4750	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.4295	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.5102	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.4710	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.4814	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.4607	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.4149	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.4132	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.4483	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.4275	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.4692	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.4136	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.5275	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.4675	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.4107	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.4330	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.4384	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.4695	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.4676	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.5314	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.4514	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.5328	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.3688	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.4338	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.5042	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.4549	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.4924	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.5008	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.3811	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.3645	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.4975	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.4258	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.3543	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.5210	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.4348	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.5227	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.5593	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.3887	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.4968	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.4479	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.4252	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.4032	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.3850	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.4830	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.4872	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.4539	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.4844	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.4062	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.4385	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.4304	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.4445	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.4493	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.4223	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.5480	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4217	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.4202	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.4545	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.4200	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.4019	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.4160	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.5183	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.5124	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.4355	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.4907	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.4148	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.4200	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.3907	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.6262	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.4469	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.4646	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.4327	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.4458	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.3370	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.5331	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.4889	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.4022	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.3205	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3959	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4611, Train Accuracy: 0.8401
Epoch 8 training time consumed: 27.58s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8521, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3929	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.3895	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3693	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4923	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.4780	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4117, Train Accuracy: 0.8575
Epoch 9 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8572, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4287	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3096	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4186	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3824	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.3141	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.3062	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.4224	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.4450	LR: 0.020000
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Training Epoch: 10 [2560/46250]	Loss: 0.3952	LR: 0.020000
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Training Epoch: 10 [25088/46250]	Loss: 0.3497	LR: 0.020000
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Training Epoch: 10 [43776/46250]	Loss: 0.3954	LR: 0.020000
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Training Epoch: 10 [44288/46250]	Loss: 0.3587	LR: 0.020000
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Training Epoch: 10 [45312/46250]	Loss: 0.4074	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.4232	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3354	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3891, Train Accuracy: 0.8650
Epoch 10 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8646, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3793	LR: 0.020000
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Training Epoch: 11 [44800/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3523	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.4077	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3716	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3733, Train Accuracy: 0.8696
Epoch 11 training time consumed: 28.06s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8554, Time consumed:0.89s
Training Epoch: 12 [256/46250]	Loss: 0.3056	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.4216	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3979	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3113	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.2906	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3362	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3578	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.2869	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3772	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.4191	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3999	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3034	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3455	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.2757	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2890	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3777	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3505	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3475	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3003	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3627	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3286, Train Accuracy: 0.8846
Epoch 12 training time consumed: 27.70s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8801, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2521	LR: 0.004000
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Training Epoch: 13 [42496/46250]	Loss: 0.3308	LR: 0.004000
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Training Epoch: 13 [43008/46250]	Loss: 0.2569	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.3426	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.2938	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.1995	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.2844	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.2881	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.2863	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.2898	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.2757	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3203	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2953	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2791	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3969	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3321	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3135, Train Accuracy: 0.8895
Epoch 13 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8811, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3197	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.2722	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.4275	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.2656	LR: 0.004000
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Training Epoch: 14 [1536/46250]	Loss: 0.2899	LR: 0.004000
Training Epoch: 14 [1792/46250]	Loss: 0.3580	LR: 0.004000
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Training Epoch: 14 [44800/46250]	Loss: 0.2554	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.3375	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.2860	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2767	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3048, Train Accuracy: 0.8934
Epoch 14 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8838, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2872	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2854	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.3257	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2943	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.3785	LR: 0.004000
Training Epoch: 15 [1536/46250]	Loss: 0.3197	LR: 0.004000
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Training Epoch: 15 [2048/46250]	Loss: 0.2378	LR: 0.004000
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Training Epoch: 15 [11008/46250]	Loss: 0.3674	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.2296	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2001	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2997, Train Accuracy: 0.8965
Epoch 15 training time consumed: 27.68s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8857, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.3631	LR: 0.000800
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Training Epoch: 16 [37888/46250]	Loss: 0.2708	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.2588	LR: 0.000800
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Training Epoch: 16 [43008/46250]	Loss: 0.2962	LR: 0.000800
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Training Epoch: 16 [43520/46250]	Loss: 0.2750	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3622	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2603	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3008	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.3218	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3611	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2919	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3275	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2867	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2862, Train Accuracy: 0.9010
Epoch 16 training time consumed: 28.16s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8865, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.3079	LR: 0.000800
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Training Epoch: 17 [43776/46250]	Loss: 0.3231	LR: 0.000800
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Training Epoch: 17 [44288/46250]	Loss: 0.2656	LR: 0.000800
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Training Epoch: 17 [45056/46250]	Loss: 0.3808	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2956	LR: 0.000800
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Training Epoch: 17 [45824/46250]	Loss: 0.2893	LR: 0.000800
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Training Epoch: 17 [46250/46250]	Loss: 0.3729	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2820, Train Accuracy: 0.9016
Epoch 17 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8857, Time consumed:0.89s
Training Epoch: 18 [256/46250]	Loss: 0.2999	LR: 0.000800
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Training Epoch: 18 [1024/46250]	Loss: 0.3075	LR: 0.000800
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Training Epoch: 18 [17664/46250]	Loss: 0.3016	LR: 0.000800
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Training Epoch: 18 [37632/46250]	Loss: 0.3121	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2481	LR: 0.000800
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Training Epoch: 18 [42240/46250]	Loss: 0.2968	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2634	LR: 0.000800
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Training Epoch: 18 [43008/46250]	Loss: 0.2046	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2864	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2136	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2336	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2513	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2537	LR: 0.000800
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Training Epoch: 18 [44800/46250]	Loss: 0.3597	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2674	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3270	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2375	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.3025	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2791, Train Accuracy: 0.9028
Epoch 18 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8872, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.2607	LR: 0.000800
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Training Epoch: 19 [1024/46250]	Loss: 0.3197	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2362	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.3144	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2390	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2176	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2876	LR: 0.000800
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Training Epoch: 19 [3584/46250]	Loss: 0.3397	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.2681	LR: 0.000800
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Training Epoch: 19 [4608/46250]	Loss: 0.3513	LR: 0.000800
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Training Epoch: 19 [44544/46250]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2444	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2830	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2988	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.3562	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2578	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2761, Train Accuracy: 0.9033
Epoch 19 training time consumed: 28.05s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8877, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.2986	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2955	LR: 0.000800
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Training Epoch: 20 [44032/46250]	Loss: 0.2121	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.2818	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.3033	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2149	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2001	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2462	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.3128	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3603	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2772, Train Accuracy: 0.9039
Epoch 20 training time consumed: 28.07s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8880, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_02m_21s/ResNet18-Cifar10-seed9-ret25-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 88.916015625
Retain Accuracy: 90.75758361816406
Zero-Retain Forget (ZRF): 0.8326140642166138
Membership Inference Attack (MIA): 0.6058666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.5266666666666666
Forget vs Test Membership Inference Attack (MIA): 0.5506666666666666
Test vs Retain Membership Inference Attack (MIA): 0.512
Train vs Test Membership Inference Attack (MIA): 0.5215
Forget Set Accuracy (Df): 87.15800476074219
Method Execution Time: 1512.43 seconds
